# mcp-video-vision

> Use this tool when you need to analyze video content and extract valuable insights, such as frame extraction, scene detection, and video metadata retrieval. It solves problems related to video understanding, automated content moderation, and media analysis. The tool takes video files as input and outputs extracted frames, scene detection results, and video metadata, enabling applications like content filtering and media enrichment.

Canonical page: https://skillsregistry.net/skills/danusiojr-mcp-video-vision  
JSON: https://api.skillsregistry.net/v1/skills/danusiojr-mcp-video-vision

## Description

MCP server that enables video analysis capabilities to Claude, including frame extraction, scene detection, and video metadata retrieval.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kn2v5pzwfj)
- **Repository:** <https://github.com/danusiojr/mcp-video-vision>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "danusiojr-mcp-video-vision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danusiojr-mcp-video-vision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danusiojr-mcp-video-vision/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt